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protein folding

1,867 papers

#protein folding Open access Oct 2026

ArcRefine improves de novo binder designs while preserving binding modes

De novo protein design now enables the creation of high-affinity binders from a target structure alone. However, current design methods face a trade-off between site control and success rate. Generative models such as RFdiffusion and BoltzGen place binders at chosen sites but often require large candidate pools. Halluc...

Ken Osumi · 0 citations
#protein folding Open access Oct 2026

A conserved achaete-scute cluster in three tardigrade genomes, invisible to all three annotations

The achaete-scute complex is one of the best-studied gene clusters in animal development and nobody has looked for it in a tardigrade: PubMed returns no records for achaete-scute combined with tardigrad*, Hypsibius or panarthropod*. We searched the sequences rather than the annotations. An HMM search with the curated H...

Meow-Ludo Meow-Meow · 0 citations
#protein folding Oct 2026

Temporary Cessation of DMARD Therapy and COVID-19 Supplemental Dose Vaccine Immunogenicity in Patients With Inflammatory Arthritis: The COVER Randomized Clinical Trial.

Importance The COVID-19 pandemic disproportionately affected patients with autoimmune and rheumatic diseases. Understanding whether certain medications affect the response to a SARS-CoV-2 supplemental dose vaccination is critical for counseling and treating patients receiving targeted immunomodulatory medications. The...

Jeffrey R. Curtis, A. Mudano, G. Cutter et al. · 1 citation
#protein folding Oct 2026

Bispecific Coiled-Coil Reporters Enable Rapid, Multiplexed Detection of Mycoplasma via Toehold Switch Sensors

Abstract Cell-free synthetic biology offers a rapid prototyping environment for molecular diagnostics, yet the utility of these systems is often limited by the slow kinetics and restricted multiplexing capabilities of traditional protein reporters. Here, we report the BINOCULAR (BIspecific Novel Orthogonal Coiled-coil-...

Yudan Li, Nery R. Arevalos, Amit Eshed et al. · 0 citations
#protein folding Open access Oct 2026

A conserved achaete-scute cluster in three tardigrade genomes, invisible to all three annotations

The achaete-scute complex is one of the best-studied gene clusters in animal development and nobody has looked for it in a tardigrade: PubMed returns no records for achaete-scute combined with tardigrad*, Hypsibius or panarthropod*. We searched the sequences rather than the annotations. An HMM search with the curated H...

Meow-Ludo Meow-Meow · 0 citations
#protein folding Open access Oct 2026

Most predicted drug pockets in the apicomplexan dark proteome are artefacts of non-globular structure.

Structural genomics is used to find drug targets among the proteins a genome leaves unnamed: a protein with no sequence homologue but a confidently predicted fold looks both novel and tractable. I show that in Plasmodium falciparum this reasoning fails four times before it reaches a target list. Of 1017 confidently mod...

Khan Osman · 0 citations
#protein folding Open access Oct 2026

Thioredoxin h1-targeted proteins in European beech (Fagus sylvatica L.): Insights into metabolic control, stress response, and seed longevity

Seed viability and longevity underpin forest regeneration under changing environmental conditions. European beech (Fagus sylvatica L.) produces intermediate seeds that gradually lose viability during storage, largely through oxidative stress, which makes redox homeostasis central to their longevity. Here we investigate...

E. Ratajczak, A. Staszak, Paola Vargas et al. · 0 citations
#protein folding Open access Oct 2026

A sensitive colorimetric ELISA to measure allergen-specific salivary SIgA for monitoring sublingual immunity efficiency in pollinosis SLIT

Sublingual immunotherapy (SLIT) is safe and one of the most effective etiological treatment for pollinosis. Allergen-specific salivary secretory immunoglobulin A (SIgA) is a useful marker to objectively evaluate treatment efficacy. However, saliva samples usually exhibit high background noise because of non-specifi...

Tetsuro Yamamoto, F. Mitsunaga, Atsushi Kotani et al. · 0 citations
#protein folding Open access Oct 2026

Figure 1 from BET Inhibition Synergizes with RLR Signaling to Enhance Tumor Immunogenicity and T-cell Recognition

BETi pretreatment sensitizes tumor cells to pIC-induced inflammation. A, Experimental setup for BETi pretreatment and pIC transfection of tumor cells. B, Protein abundance of phosphorylated IRF3 and (C) TBK1 in A375 cells after 72 hours of JQ1 or DMSO pretreatment and pIC transfection for 24 hours assessed by Western b...

Lucas Baldran-Groves, Rok Žiberna, Marc-Antoine Gerault et al. · 0 citations
#protein folding Open access Oct 2026

Long Non-Coding RNA LINC01614 Promotes Aggressive Phenotypes and Ferroptosis Resistance in Papillary Thyroid Cancer Through a Putative miR-4521/IGF2/PI3K-AKT Signaling Axis

Background/Objectives: Papillary thyroid cancer (PTC) is the most common endocrine malignancy and is generally associated with favorable clinical outcomes. However, a subset of tumors develops aggressive phenotypes characterized by increased proliferation, migration, therapeutic resistance, and disease progression. Lon...

D. Quaranto, N. DeSouza, Michelle Carnazza et al. · 0 citations
#protein folding Open access Oct 2026

Icosahedral Symmetry and Quasi-Equivalence: The Triangulation Number Determines Viral Capsid Architecture — E8 Intelligence Research

FINDING: Viral capsid architecture is governed by icosahedral symmetry and quasi-equivalence theory, where the triangulation number T = h² + hk + k² (h,k ≥ 0 integers) determines the number of protein subunits (60T) and their arrangement on a spherical lattice. | MATH: T = h² + hk + k²; capsid protein count = 60T; allo...

Andrew Stewart Caldin · 0 citations

From tech blogs

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Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

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